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The Smallest MCP server costs 13,489 tokens before the first call.

Connect Smallest and its 70 tool definitions are loaded into the model's context on every request — 6.7% of a 200k window spent before your agent does anything.

QUICK ANSWER The Smallest MCP server's tool definitions consume 13,489 tokens — 7.1× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 70 tools · 13,489 tokens · 6.7% of 200k · 1.3% of 1M Method →

What that buys before your agent starts working.

Tool definitions are overhead: they occupy context on every request and compete with your code, documents and conversation history for the same window.

200K WINDOW 6.7%
1M WINDOW 1.3%

Corpus context: Smallest ranks #111 of 3,213 measured MCP servers by definition cost. The median is 1,905 tokens, p90 is 7,952, and the heaviest (Fusionauth) is 183,337 — 92% of a 200k window on its own.

Where the 13,489 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 193 tokens per tool.

ToolCategoryTokens% of server
update_agent_config Write 1,462 10.8%
create_agent Write 1,022 7.6%
text_to_speech Write 403 3.0%
transcribe_audio Read 391 2.9%
list_calls Read 369 2.7%
create_campaign Write 307 2.3%
make_call Read 283 2.1%
get_credit_ledger Read 266 2.0%
get_agents Read 244 1.8%
get_usage_stats Read 238 1.8%
get_dashboard Read 226 1.7%
get_attempt_cohorts Read 225 1.7%
get_campaigns Read 225 1.7%
get_hourly_performance Read 224 1.7%
get_agent_performance Read 221 1.6%
get_pickup_rates Read 221 1.6%
get_duration_stats Read 217 1.6%
get_weekly_trends Read 217 1.6%
compare_version_metrics Read 216 1.6%
get_call_volume Read 216 1.6%
get_call_outcomes Read 215 1.6%
get_phone_number_trends Read 215 1.6%
publish_draft Write 213 1.6%
get_call_counts_by_day Read 212 1.6%
update_version Write 203 1.5%
test_version Read 195 1.4%
list_versions Read 189 1.4%
test_draft Read 189 1.4%
add_audience_members Write 177 1.3%
update_billing_alerts Write 177 1.3%
search_audience_members Read 167 1.2%
debug_call Read 166 1.2%
get_voices Read 161 1.2%
update_agent_prompt Write 159 1.2%
get_draft Read 158 1.2%
invite_member Write 151 1.1%
get_credit_usage Read 149 1.1%
get_draft_diff Read 143 1.1%
diff_versions Read 141 1.0%
get_audience_members Read 140 1.0%
duplicate_agent Read 134 1.0%
rename_draft Write 134 1.0%
delete_audience_members Destructive 132 1.0%
export_campaign_logs Write 126 0.9%
get_call_start_distribution Read 123 0.9%
get_daily_summary Read 123 0.9%
activate_version Write 123 0.9%
get_concurrency Read 119 0.9%
get_version Read 116 0.9%
list_drafts Read 102 0.8%
delete_agent Destructive 100 0.7%
start_campaign Execute 99 0.7%
get_plans Read 88 0.7%
get_agent Read 87 0.6%
validate_coupon Read 87 0.6%
delete_audience Destructive 86 0.6%
get_campaign Read 86 0.6%
pause_campaign Read 85 0.6%
get_agent_prompt Read 83 0.6%
redeem_coupon Write 83 0.6%
get_audience Read 80 0.6%
delete_campaign Destructive 73 0.5%
get_audiences Read 73 0.5%
get_usage_breakdown Read 71 0.5%
get_phone_numbers Read 70 0.5%
get_payment_methods Read 65 0.5%
get_auto_reload Read 61 0.5%
get_billing_alerts Read 59 0.4%
get_invoices Read 56 0.4%
get_credit_balance Read 52 0.4%

Most agents use a handful of these tools. They pay for all 70.

A PolicyLayer grant exposes only the tools you allow — ungranted definitions are filtered out of the tool list, so they never enter the context window. Estimates below assume typical-weight tools (193 tokens each).

Grant scopeDefinition costReduction
All 70 tools (no gateway) 13,489 tokens
3 granted tools ~578 tokens −96%
5 granted tools ~964 tokens −93%
10 granted tools ~1,927 tokens −86%

Smallest token-cost questions.

How many tokens does the Smallest MCP server use?+

Its 70 tool definitions total 13,489 tokens — 6.7% of a 200k context window — measured with tiktoken o200k_base over the serialised tools/list payload. Exact counts vary slightly by client and model.

Why does Smallest consume tokens before I send a message?+

MCP clients load every connected server's tool definitions — name, description, and input schema — into the model's context so it knows what it can call. That payload is charged against your context window on every request, whether or not a tool is used.

How do I reduce Smallest's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Smallest to only the tools you allow — ungranted definitions are filtered out of the tool list, so they never enter the context window. A grant of 3 typical tools costs roughly 578 tokens, a 96% reduction.

Does deferred tool loading fix this?+

Partially, in some clients. Claude Code defers MCP tool schemas behind a tool-search step by default, and VS Code has experimental grouping — but you still pay tokens per search and reload, and Cursor, Windsurf and Gemini CLI load definitions upfront. Reducing the exposed tool set cuts the cost in every client.

How these numbers were measured.

01
Serialisation

Each tool is serialised as a tools/list entry — name, description, input schema — from the schemas in the PolicyLayer scan database. Clients differ slightly in framing, so treat counts as close estimates.

02
Tokeniser

tiktoken o200k_base (GPT-4o/o-series). Anthropic's current tokeniser isn't published, so Claude's exact counts will differ; for English text and JSON schemas the totals are close enough to treat these as estimates.

03
Deferred loading

Some clients now defer schema loading (Claude Code's tool search; VS Code experimental grouping). You still pay per search and reload — and Cursor, Windsurf and Gemini CLI load everything upfront.

Computed 07-06-2026 from the PolicyLayer scan database over all 70 catalogued Smallest tools. Counts refresh with every site build.

Expose only the tools you use — the rest never enter your context.

A PolicyLayer grant scopes Smallest to the tools you actually allow. Ungranted definitions never load, and every call that does run is checked against policy first.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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